Q&A with Matt Amundson, VP of Marketing at Everstring

MEDIA 7 | November 14, 2019

Q&A with Matt Amundson
Matt Amundson, VP of Marketing at EverString has over 10 years of sales and marketing experience. Matt has held roles in Demand Generation and Sales Development at TIBCO, Marketo, FGXI and Red Bull. His primary focus has been on creating processes that generate a consistent, pipeline.

MEDIA 7: Could you tell us about your mantra “Go for the run”?
MATT AMUNDSON:
On December 29th of 2017, I decided to change my lifestyle habits and decided that I’m going to run a minimum of one mile every single day. So, every day since that day I’ve got up and ran. It’s been a seminal moment where my approach on life and work has changed dramatically. And as a result of that, it’s become a personal mantra, which is to not be afraid of where you might be today. If you’ve got some lofty goals or if you want to try something new, just get out there and give it a try and see what the results of it could be. On a personal level, whether you’re physically tired or don’t feel like doing it, just give it a shot and go for it. On a professional level, if it’s something that can benefit you or your brand give it a try, go for it and see what happens.

M7: What is your favorite part about working at EverString?
MA:
I really love the people that I work with and I’ve been at the organization for about four and a half years. Some of the folks that I’ve worked with since the beginning are still here and it’s just been an awesome journey to be on with some incredible colleagues and that’s just on a personal level. On a professional level, I think we’re all solving a major problem that a lot of organizations are suffering from – which is related to data. As a marketer who has existed in the mar tech space for the broader part of my career, we often think of our process improvements and workflow improvements to gain more efficiency. Whether that’s marketing automation system or a cool new technology like conversational AI most people fall into two camps when it comes to data, either they’re just not conscious of data or they are. The data that they purchase or the data they acquire ultimately powers everything they do from a marketing perspective or they’re used to the status quo of current data providers that provide low quality of data and are sort of mired in the “well I guess that’s the way it is and that’s just the quality level that I have to deal with”. The fact that we’re changing that for some of the world’s biggest brands like Capital One, FedEx, Staples, Autodesk, Oracle as well as the smaller brands is really exciting to me.


"The world’s largest businesses do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that."

M7: How does EverString’s data platform stand out from the rest in delivering high coverage as well as accuracy for data vendors?
MA:
The high-quality of our data lies in the way that we collect data versus the way that traditional data vendors collect. The traditional route for collecting data is by using a couple of different ways, but the most traditional would be to have a call from somewhere where people are just dialing into an organization and asking them for data about their companies. That’s problematic for a lot of reasons, one being – you’re essentially relying on people to give you accurate answers to the frequency at which you’re updating. This is fairly sparse because you’re not always going to get a hold of somebody as businesses are changing.

The way EverString does it is by taking a more digital approach to it – we use machine learning and artificial intelligence not only to go out and scrape and collect data and update that data on a monthly basis but we also use artificial intelligence to say, if these companies are similar, the likelihood that they have the same attributes or technology or number of sales employees or engineering employees is probably true as well. So, we’re able to predict that type of data and then feed it back through people to go in and verify. So essentially, we’re able to collect data on a much broader set of companies in a much faster fashion and we’re able to update that data much more frequently than any of our competitors. 

M7: What marketing channels do you use and which ones do you see as the most promising given your target customers?
MA:
We have a fairly small marketing department; we only have five people on the team. But I think the team that we have here is very efficient, and the channels that we generally lean into are the traditional channels of email, digital marketing through both PPC display advertising as well as using platforms like LinkedIn and Facebook which have actually been successful for us.

One of the things that we do is we’re very heavy direct mail marketers and we’ve found a lot of efficiency gain from that. We’re also very well–known for doing really great events, we did a party at Marketo summit in 2016 that had about 3000 people there and luckily, we had Will Smith as the keynote presenter from Marketo summit come and perform in the party. So, that was an amazing event that we’ve been very well known for.


"There’s just a lot of in accuracy and incompleteness in data so modelling that data to try to predict outcomes is problematic."

M7: Since you joined the company EverString in 2015, what paradigm shift do you see in the company today?
MA:
 In the early days of the business we really focused on being primarily a data science company where we wanted to roll out our customer’s data to essentially model and predict outcomes. And the problem with that was a lot of what I talked about at the top of our conversation. There’s just a lot of inaccuracy and incompleteness in data so modelling that data to try to predict outcomes was problematic. And what we realized three years ago was we couldn’t just be a data science company we also had to be a data company and so we set out on this journey to become the data company and realistically about 18 months ago we saw the fruit of that work. For about the last six quarters we’ve been able to go into some of the world’s largest businesses and do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that. So, it’s not just that they consume raw data from us but also let us use our own internal data science capabilities to make sense of that data to help marketers do better segmentation, for sales people to have better insights into why they should be reaching out to an account when they should be reaching out to an operations teams to be able to provide their go-to-market teams with just a much higher quality of data.



"Everstring makes sense of data to help marketers do better segmentation and for sales people to have better insights into why they should be reaching out to an account or operations teams."

M7: How old were you when you had your first paying job?
MA:
 I think I was about 10 years old and I fall into like the fairly regular category of a lot of people that I know in the professional world who began their careers as adolescents with a paper route. So, I was like the neighborhood paperboy for a number of years and that was interesting because that taught me a lot of lessons and how to ask people for money which is fairly difficult. It also taught me discipline and building routines and processes around making sure you get up early making sure papers are delivered on time. So, it was a great learning lesson for me. I didn’t necessarily think about it in the time I just kind of thought about the 50 bucks a month that I was getting to go spend on candy and toys.

ABOUT EVERSTRING

EverString’s AI SaaS solution is designed for B2B sales and marketing professionals to drive pipeline growth, help close new customers, expand into new markets, prioritize accounts, and provide actionable insights – all without the need for an administrator.

EverString is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, IDG Ventures and Lakestar. For more information, visit www.everstring.com.

More THOUGHT LEADERS

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization....

Read More

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization....

Read More

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

Related News

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Exasol Unveils the No-Compromise Analytics Database Unlocking Greater Productivity, Cost-Savings, and Flexibility

Businesswire | May 31, 2023

Exasol today unveiled its no-compromise analytics database, which delivers more productivity, savings, and flexibility for enterprises to better manage data in the cloud, SaaS, on-premises, or hybrid. With processing times up to 20 times faster1 than any other analytics database, Exasol provides an unmatched price/performance ratio, helping customers achieve 320% 2 ROI in reduced licensing, implementation, maintenance, and training costs. Businesses interested in trying Exasol in their own tech stack with their own data can do so at no cost for a limited time through its Accelerator Program. Under the leadership of Exasol’s recently appointed Chief Executive Officer, Joerg Tewes, the new release underscores the company’s commitment to delivering what customers need – a solution that doesn’t require them to make trade-offs between cost, efficiencies, and flexibility. With Exasol, customers can run analytics anywhere their data lives – on-premises, cloud or across multiple clouds – with no rip-and-replace, no need to move data sets, no cost shocks. With the latest enhancements, Exasol seamlessly integrates with any data stack and analytics ecosystem, and dynamically scales to accommodate even the most complex data sets, removing friction and unburdening data teams to accelerate business outcomes. “Exasol believes customers shouldn’t ever have to make compromises with their analytics databases, especially during these times of economic uncertainty and reduced IT budgets. This is why our offering allows users to see significant performance and efficiency gains, while working within their budgets and existing tech environments,” said Joerg Tewes, CEO of Exasol. “We have hundreds of global customers using Exasol with extremely complex data, at scale. From financial services and retail customers reducing queries from hours to seconds, to agriculture firms working with complicated models supporting DNA sequencing, our customers spend more time analyzing and optimizing with less time and headcount.” The latest enhancements to the database enable organizations to: Avoid replacing databases and get more out of existing tech stacks: Through Exasol’s performance enhancements, scaling optimization, and real-time processing, their entire tech stacks are more efficient. Gain the best price/performance ratio: Market-leading concurrency, fast in-memory processing and query compute distribution provides greater performance on less hardware infrastructure. Run analytics or machine learning (ML): Exasol's ML capabilities are built directly into the in-memory database engine, to deliver even greater efficiencies and cost savings. From uncovering hidden patterns in an organization’s complete data that significantly cuts down data preparation time, to enabling customers to effortlessly utilize open-source machine learning models, Exasol's ML capabilities provide customers with unmatched efficiency and scalability – Exasol makes ML actionable at scale. Manage data where it lives: Workloads can be moved between platforms and uniformly automated and managed through a modern technology stack, whether it’s between self or fully managed SaaS, even on an ad-hoc basis. “Exasol is a strong member of the AWS Partner Network, with its evolution and expansion of capabilities on AWS cloud,” said Mor Hezi, Head of EMEA Technology Partnerships at AWS. “We’re thrilled to continue building our relationship with Exasol, and look forward to fostering further collaboration and mutual growth. Together, we are transforming businesses." “Exasol has allowed us to push the boundaries of how we harness value out of our data, at a speed and scale which we never imagined,” said Cesar Picco, Senior Software Engineer at T-Mobile, USA. “We were immediately impressed with Exasol’s performance as we were able to handle multiple data science workloads simultaneously with over 200% improvement at significantly reduced effort. And this was just the beginning of our journey. In order to improve our 5G network decisions, we leverage our already existing massive amounts of business and network data to more accurately analyze potential network infrastructure. In the world of telcom, more coverage means happier customers, a superior customer experience, and ultimately a better value for our customers. Now, with these latest enhancements, we’ll be able to further explore the possibilities that lie in BI visualization, data mapping and modeling, and so much more. As the only database that offers this level of speed, efficiency, cost, and flexibility, Exasol continues to raise the bar, and we’re looking forward to more innovation, market disruption and customer satisfaction with this rollout.” “Exasol plays an important role in our HR Data Factory and is the central data platform which, as the "digital twin" of the employees, manages data at Mercedes in a DSGVO-compliant manner. With its in-memory architecture, the Exasol database offers excellent opportunities to analyse and securely manage data with unprecedented performance,” said Jochen Linkohr, Head of HR DataFactory Team at Mercedes-Benz. “We appreciate the almost maintenance-free use of the database for many years. It enables us to increase efficiency and optimise costs, which in turn has had a positive impact on our business. We look forward to continuing our long-standing relationship with Exasol and using the new features to sustain our business." To take advantage of the limited time Accelerator Program, and try Exasol in their own tech stack and data sets, businesses interested can go to www.exasol.com/poc. The Accelerator Program allows them to immediately start a complimentary SaaS trial or participate in a proof of concept with three months and five terabytes for free, so they can experience what no-compromises means for their organization. About Exasol Exasol is the no-compromise analytics database that provides increased productivity, cost-savings and flexibility, redefining how businesses use data. With 20x faster processing, Exasol provides insights in record time, empowering businesses to solve complex problems, become more data-driven and bring innovation to life. Exasol also delivers ROI of more than 300% with reduced licensing, implementation, maintenance and training fees, eliminating cost shock and vendor-lock in. With Exasol, businesses have flexibility to manage data the way they want – in the cloud, SaaS, on-premises, or hybrid – without rip-and-replace disruption. Hundreds of global brands like T-Mobile, Revolut, and Allianz rely on Exasol to innovate, grow and win. Join them – try Exasol for free to experience what no-compromise can do for your organization.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Precisely Advances Leading Data Quality Portfolio, Providing Unparalleled Support to Customers on their Journey to Data Integrity

Businesswire | June 01, 2023

Precisely, the global leader in data integrity, today announced a series of innovations to its industry recognized data quality portfolio. The announcement underscores the company’s continued commitment to helping organizations on their path to data integrity - empowering data leaders and practitioners to better understand their data and ensure it is accurate, consistent, and contextualized for confident decision-making. Thousands of customers around the world rely on data quality solutions from Precisely for their best-in-class address validation and enrichment, sophisticated entity matching, financial reconciliation, and enforcement of data quality rules for their business. Integration with other Precisely solutions, including data governance, data observability, data integration, and data enrichment empowers customers to seamlessly address new use cases in their rapidly changing, data-driven world. With the latest product updates, Precisely has further enhanced capabilities in its well-known solutions, building upon decades of leadership in the data quality market: Precisely Spectrum Quality – now offers expanded capabilities for editing, visualizing, and interacting with graph data for use cases requiring a single view of critical data. It also supports the latest United States Postal Service (USPS) CASS™ Cycle O, allowing customers to benefit from improved address validation and matching to ensure accurate and efficient delivery of mail, and take advantage of reduced mailing costs. Starting in July, it will also provide the option to integrate Spectrum OnDemand directly with Precisely Property Graph – enabling users to understand the intricate relationships between addresses, parcel boundaries, building footprints and points of interest. Precisely Trillium – offers improved connectivity with double the number of supported data sources now available for Trillium Quality and Trillium Discovery customers. The updates enhance performance and enable data quality rules to be applied to data originating from sources such as Snowflake, Amazon Redshift, Google BigQuery, and SAP S/4HANA. Starting in July, support will also be available for USPS CASS™ Cycle O. Precisely Data360 – has been advanced with the option to integrate Data360 DQ+ with Spectrum OnDemand, allowing customers to validate emails and phone numbers, on top of being able to validate and geocode addresses using Spectrum’s well-known strengths. Several enhancements have also been made to Data360 Analyze to provide secure and easy access to Microsoft Azure Key Vault, and enable more efficient coding in Python. These new updates follow the recent announcement of the Precisely Data Integrity Suite’s new Data Quality service, which provides complementary benefits for users of Precisely data quality solutions including Spectrum Quality, Trillium Quality, Trillium Discovery, and Data360 DQ+. The new Data Quality service means customers can run data quality processes wherever data lives – including in the cloud. It also empowers them to harness additional value by seamlessly integrating with other Suite services, including Data Integration, Data Governance, Data Observability, and more. The announcement comes at a time when organizations are under more pressure than ever to execute on increasingly sophisticated data initiatives, requiring access to high levels of accurate, consistent, and contextualized data to achieve successful outcomes. In fact, new research1 from the Center for Business Analytics at Drexel University’s LeBow College of Business revealed data quality as the number one challenge for organizations (50%), as well as being the top priority (53%) for data leaders to address in 2023, with 66% of all respondents rating the quality of their organization’s data as average, low, or very low. “Advanced data programs ultimately rely on high-integrity data to achieve successful outcomes, and ensuring that your data is accurate, consistent, and contextualized is a critical step on the path to building that trust,” said Emily Washington, SVP – Product Management at Precisely. “We are proud to continue to evolve our unique blend of software, data, and strategic services to meet customers wherever they are on their data integrity journey and help them to stay agile in the dynamic market landscape.” Register for the new data quality webinar series to hear directly from Precisely product experts on how customers can take advantage of these latest updates. 1.2023 Data Integrity Trends & Insights Report, Center for Business Analytics at Drexel University’s LeBow College of Business in partnership with Precisely – full report coming June 2023 About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes. Learn more at www.precisely.com.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Catalyst announces strategic investment from Databricks Ventures

Businesswire | May 29, 2023

Catalyst, the leading platform to drive growth through your customers, announced it has received a strategic investment from Databricks Ventures. This marks Databricks Ventures’ first investment in customer growth technology, showcasing their belief that customer intelligence data is essential for businesses to generate more revenue. “Catalyst is at the forefront of evangelizing customer-led growth and has seen firsthand the power and flexibility Databricks’ Lakehouse Platform offers for delivering value with data, analytics and AI,” said Chris Hecht, SVP, Corporate Development and Product Partnerships. “By leveraging Databricks platform for their product, and having a first class integration with the Lakehouse, Catalyst is demonstrating the power of both building on Databricks and unlocking the value of data with our mutual customers, an obvious opportunity for Databricks Ventures that we’re thrilled to support.” In addition to this investment, Catalyst will also deepen the product integration with Databricks. This will enable Catalyst customers to integrate directly with the data stored in their own Databricks Lakehouse to power the analytics offered by Catalyst. This simplifies the user experience and enables customers to get more value from their existing investments in Catalyst and Databricks. With Catalyst’s actionable workflows and UI powered by Databricks analytics, businesses will be able to unify customer data into one, comprehensive platform—driving stronger predictability and increasing net dollar retention. “In this economic environment, customers are the number one asset to protect, expand, and multiply through data-driven automations,” said Edward Chiu, CEO of Catalyst. “By combining Databricks’ advanced analytics with Catalyst’s enterprise integrations and powerful workflows, organizations will now be able to tackle the most critical revenue gap facing businesses today: proactive customer retention and expansion.” About Catalyst Catalyst is the leading platform to drive growth through your customers. Trusted by top revenue leaders at global B2B brands, Catalyst guides Sales and Success teams to turn customers into your number one engine for growth. For more information about Catalyst, visit catalyst.io or follow Catalyst on LinkedIn. About Databricks Ventures Databricks Ventures is the strategic investment arm of Databricks, the data and AI company. Databricks Ventures invests in innovative companies that align with our view of the future for data, analytics and AI; and are committed to extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data and AI-powered companies.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Exasol Unveils the No-Compromise Analytics Database Unlocking Greater Productivity, Cost-Savings, and Flexibility

Businesswire | May 31, 2023

Exasol today unveiled its no-compromise analytics database, which delivers more productivity, savings, and flexibility for enterprises to better manage data in the cloud, SaaS, on-premises, or hybrid. With processing times up to 20 times faster1 than any other analytics database, Exasol provides an unmatched price/performance ratio, helping customers achieve 320% 2 ROI in reduced licensing, implementation, maintenance, and training costs. Businesses interested in trying Exasol in their own tech stack with their own data can do so at no cost for a limited time through its Accelerator Program. Under the leadership of Exasol’s recently appointed Chief Executive Officer, Joerg Tewes, the new release underscores the company’s commitment to delivering what customers need – a solution that doesn’t require them to make trade-offs between cost, efficiencies, and flexibility. With Exasol, customers can run analytics anywhere their data lives – on-premises, cloud or across multiple clouds – with no rip-and-replace, no need to move data sets, no cost shocks. With the latest enhancements, Exasol seamlessly integrates with any data stack and analytics ecosystem, and dynamically scales to accommodate even the most complex data sets, removing friction and unburdening data teams to accelerate business outcomes. “Exasol believes customers shouldn’t ever have to make compromises with their analytics databases, especially during these times of economic uncertainty and reduced IT budgets. This is why our offering allows users to see significant performance and efficiency gains, while working within their budgets and existing tech environments,” said Joerg Tewes, CEO of Exasol. “We have hundreds of global customers using Exasol with extremely complex data, at scale. From financial services and retail customers reducing queries from hours to seconds, to agriculture firms working with complicated models supporting DNA sequencing, our customers spend more time analyzing and optimizing with less time and headcount.” The latest enhancements to the database enable organizations to: Avoid replacing databases and get more out of existing tech stacks: Through Exasol’s performance enhancements, scaling optimization, and real-time processing, their entire tech stacks are more efficient. Gain the best price/performance ratio: Market-leading concurrency, fast in-memory processing and query compute distribution provides greater performance on less hardware infrastructure. Run analytics or machine learning (ML): Exasol's ML capabilities are built directly into the in-memory database engine, to deliver even greater efficiencies and cost savings. From uncovering hidden patterns in an organization’s complete data that significantly cuts down data preparation time, to enabling customers to effortlessly utilize open-source machine learning models, Exasol's ML capabilities provide customers with unmatched efficiency and scalability – Exasol makes ML actionable at scale. Manage data where it lives: Workloads can be moved between platforms and uniformly automated and managed through a modern technology stack, whether it’s between self or fully managed SaaS, even on an ad-hoc basis. “Exasol is a strong member of the AWS Partner Network, with its evolution and expansion of capabilities on AWS cloud,” said Mor Hezi, Head of EMEA Technology Partnerships at AWS. “We’re thrilled to continue building our relationship with Exasol, and look forward to fostering further collaboration and mutual growth. Together, we are transforming businesses." “Exasol has allowed us to push the boundaries of how we harness value out of our data, at a speed and scale which we never imagined,” said Cesar Picco, Senior Software Engineer at T-Mobile, USA. “We were immediately impressed with Exasol’s performance as we were able to handle multiple data science workloads simultaneously with over 200% improvement at significantly reduced effort. And this was just the beginning of our journey. In order to improve our 5G network decisions, we leverage our already existing massive amounts of business and network data to more accurately analyze potential network infrastructure. In the world of telcom, more coverage means happier customers, a superior customer experience, and ultimately a better value for our customers. Now, with these latest enhancements, we’ll be able to further explore the possibilities that lie in BI visualization, data mapping and modeling, and so much more. As the only database that offers this level of speed, efficiency, cost, and flexibility, Exasol continues to raise the bar, and we’re looking forward to more innovation, market disruption and customer satisfaction with this rollout.” “Exasol plays an important role in our HR Data Factory and is the central data platform which, as the "digital twin" of the employees, manages data at Mercedes in a DSGVO-compliant manner. With its in-memory architecture, the Exasol database offers excellent opportunities to analyse and securely manage data with unprecedented performance,” said Jochen Linkohr, Head of HR DataFactory Team at Mercedes-Benz. “We appreciate the almost maintenance-free use of the database for many years. It enables us to increase efficiency and optimise costs, which in turn has had a positive impact on our business. We look forward to continuing our long-standing relationship with Exasol and using the new features to sustain our business." To take advantage of the limited time Accelerator Program, and try Exasol in their own tech stack and data sets, businesses interested can go to www.exasol.com/poc. The Accelerator Program allows them to immediately start a complimentary SaaS trial or participate in a proof of concept with three months and five terabytes for free, so they can experience what no-compromises means for their organization. About Exasol Exasol is the no-compromise analytics database that provides increased productivity, cost-savings and flexibility, redefining how businesses use data. With 20x faster processing, Exasol provides insights in record time, empowering businesses to solve complex problems, become more data-driven and bring innovation to life. Exasol also delivers ROI of more than 300% with reduced licensing, implementation, maintenance and training fees, eliminating cost shock and vendor-lock in. With Exasol, businesses have flexibility to manage data the way they want – in the cloud, SaaS, on-premises, or hybrid – without rip-and-replace disruption. Hundreds of global brands like T-Mobile, Revolut, and Allianz rely on Exasol to innovate, grow and win. Join them – try Exasol for free to experience what no-compromise can do for your organization.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Precisely Advances Leading Data Quality Portfolio, Providing Unparalleled Support to Customers on their Journey to Data Integrity

Businesswire | June 01, 2023

Precisely, the global leader in data integrity, today announced a series of innovations to its industry recognized data quality portfolio. The announcement underscores the company’s continued commitment to helping organizations on their path to data integrity - empowering data leaders and practitioners to better understand their data and ensure it is accurate, consistent, and contextualized for confident decision-making. Thousands of customers around the world rely on data quality solutions from Precisely for their best-in-class address validation and enrichment, sophisticated entity matching, financial reconciliation, and enforcement of data quality rules for their business. Integration with other Precisely solutions, including data governance, data observability, data integration, and data enrichment empowers customers to seamlessly address new use cases in their rapidly changing, data-driven world. With the latest product updates, Precisely has further enhanced capabilities in its well-known solutions, building upon decades of leadership in the data quality market: Precisely Spectrum Quality – now offers expanded capabilities for editing, visualizing, and interacting with graph data for use cases requiring a single view of critical data. It also supports the latest United States Postal Service (USPS) CASS™ Cycle O, allowing customers to benefit from improved address validation and matching to ensure accurate and efficient delivery of mail, and take advantage of reduced mailing costs. Starting in July, it will also provide the option to integrate Spectrum OnDemand directly with Precisely Property Graph – enabling users to understand the intricate relationships between addresses, parcel boundaries, building footprints and points of interest. Precisely Trillium – offers improved connectivity with double the number of supported data sources now available for Trillium Quality and Trillium Discovery customers. The updates enhance performance and enable data quality rules to be applied to data originating from sources such as Snowflake, Amazon Redshift, Google BigQuery, and SAP S/4HANA. Starting in July, support will also be available for USPS CASS™ Cycle O. Precisely Data360 – has been advanced with the option to integrate Data360 DQ+ with Spectrum OnDemand, allowing customers to validate emails and phone numbers, on top of being able to validate and geocode addresses using Spectrum’s well-known strengths. Several enhancements have also been made to Data360 Analyze to provide secure and easy access to Microsoft Azure Key Vault, and enable more efficient coding in Python. These new updates follow the recent announcement of the Precisely Data Integrity Suite’s new Data Quality service, which provides complementary benefits for users of Precisely data quality solutions including Spectrum Quality, Trillium Quality, Trillium Discovery, and Data360 DQ+. The new Data Quality service means customers can run data quality processes wherever data lives – including in the cloud. It also empowers them to harness additional value by seamlessly integrating with other Suite services, including Data Integration, Data Governance, Data Observability, and more. The announcement comes at a time when organizations are under more pressure than ever to execute on increasingly sophisticated data initiatives, requiring access to high levels of accurate, consistent, and contextualized data to achieve successful outcomes. In fact, new research1 from the Center for Business Analytics at Drexel University’s LeBow College of Business revealed data quality as the number one challenge for organizations (50%), as well as being the top priority (53%) for data leaders to address in 2023, with 66% of all respondents rating the quality of their organization’s data as average, low, or very low. “Advanced data programs ultimately rely on high-integrity data to achieve successful outcomes, and ensuring that your data is accurate, consistent, and contextualized is a critical step on the path to building that trust,” said Emily Washington, SVP – Product Management at Precisely. “We are proud to continue to evolve our unique blend of software, data, and strategic services to meet customers wherever they are on their data integrity journey and help them to stay agile in the dynamic market landscape.” Register for the new data quality webinar series to hear directly from Precisely product experts on how customers can take advantage of these latest updates. 1.2023 Data Integrity Trends & Insights Report, Center for Business Analytics at Drexel University’s LeBow College of Business in partnership with Precisely – full report coming June 2023 About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes. Learn more at www.precisely.com.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Catalyst announces strategic investment from Databricks Ventures

Businesswire | May 29, 2023

Catalyst, the leading platform to drive growth through your customers, announced it has received a strategic investment from Databricks Ventures. This marks Databricks Ventures’ first investment in customer growth technology, showcasing their belief that customer intelligence data is essential for businesses to generate more revenue. “Catalyst is at the forefront of evangelizing customer-led growth and has seen firsthand the power and flexibility Databricks’ Lakehouse Platform offers for delivering value with data, analytics and AI,” said Chris Hecht, SVP, Corporate Development and Product Partnerships. “By leveraging Databricks platform for their product, and having a first class integration with the Lakehouse, Catalyst is demonstrating the power of both building on Databricks and unlocking the value of data with our mutual customers, an obvious opportunity for Databricks Ventures that we’re thrilled to support.” In addition to this investment, Catalyst will also deepen the product integration with Databricks. This will enable Catalyst customers to integrate directly with the data stored in their own Databricks Lakehouse to power the analytics offered by Catalyst. This simplifies the user experience and enables customers to get more value from their existing investments in Catalyst and Databricks. With Catalyst’s actionable workflows and UI powered by Databricks analytics, businesses will be able to unify customer data into one, comprehensive platform—driving stronger predictability and increasing net dollar retention. “In this economic environment, customers are the number one asset to protect, expand, and multiply through data-driven automations,” said Edward Chiu, CEO of Catalyst. “By combining Databricks’ advanced analytics with Catalyst’s enterprise integrations and powerful workflows, organizations will now be able to tackle the most critical revenue gap facing businesses today: proactive customer retention and expansion.” About Catalyst Catalyst is the leading platform to drive growth through your customers. Trusted by top revenue leaders at global B2B brands, Catalyst guides Sales and Success teams to turn customers into your number one engine for growth. For more information about Catalyst, visit catalyst.io or follow Catalyst on LinkedIn. About Databricks Ventures Databricks Ventures is the strategic investment arm of Databricks, the data and AI company. Databricks Ventures invests in innovative companies that align with our view of the future for data, analytics and AI; and are committed to extending the lakehouse ecosystem or using the lakehouse architecture to create the next generation of data and AI-powered companies.

Read More